TL;DR
Senior AI Engineer: Helping to bring LLM capabilities into new and existing products with an accent on AI engineering and multi-agent architectures. Focus on building and deploying Agentic LLM-based solutions and optimizing data pipelines for vector search and knowledge retrieval.
Location: Ideally, London-based with onsite work at WeWork one day a week (Wednesdays).
Company
hirify.global, a London-based consultancy, designs and builds technology solutions for clients like Spotify, Google, Inmarsat, and Zego.
What you will do
- Experiment with POCs to find solutions for real-world problems using Large Language Models.
- Collaborate on AI-driven projects, working alongside engineers, product managers and AI specialists while maintaining clear documentation.
- Build and deploy Agentic LLM-based solutions with LangGraph.
- Design and optimise APIs using Python and FastAPI to serve AI solutions.
- Build and optimise data pipelines for vector search and knowledge retrieval using Vector databases and embedding models.
Requirements
- Professional AI engineering experience.
- Background in Software Engineering with Python.
- Solid understanding of the Python standard library and modern Python coding, testing, debugging and automation techniques.
- Hands-on experience building solutions using LLMs and Agentic architectures with ADK, LlamaIndex, or LangGraph.
- Working with vector databases for embedding and indexing.
- Strong experience with cloud platforms and with relational databases and SQL
- Excellent communication skills and the ability to work well in a collaborative team environment
Nice to have
- Strong experience with GCP.
- Experience with Graph databases.
- Experience in bringing data-intensive projects into production.
- Experience with CI/CD pipelines.
Culture & Benefits
- Flexible and Remote-First Work Environment: Choose how and where you work, with the option for weekly team meet-ups in central London.
- Generous Leave Policy: 27 days of holiday plus bank holidays
- Family-friendly policies, including enhanced maternity, paternity and shared
- Learning and Development: Individual annual budget of £2,000 for learning and development, with dedicated learning days.
- Feel Better Fund: £500 to help set up your remote office.
- Pension Contribution: Enhanced employer pension contribution of 6%.
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